Cargando…
Sharp Convergence of Nonlinear Functionals of a Class of Gaussian Random Fields
We present a self-contained proof of a uniform bound on multi-point correlations of trigonometric functions of a class of Gaussian random fields. It corresponds to a special case of the general situation considered in Hairer and Xu (large-scale limit of interface fluctuation models. ArXiv e-prints a...
Autor principal: | Xu, Weijun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404850/ https://www.ncbi.nlm.nih.gov/pubmed/30931237 http://dx.doi.org/10.1007/s40304-018-0162-9 |
Ejemplares similares
-
Convergence rates of Gaussian ODE filters
por: Kersting, Hans, et al.
Publicado: (2020) -
Sharp Guarantees and Optimal Performance for Inference in Binary and Gaussian-Mixture Models †
por: Taheri, Hossein, et al.
Publicado: (2021) -
Gaussian and non-Gaussian linear time series and random fields
por: Rosenblatt, Murray
Publicado: (2000) -
Modelling spatial variation in disease risk using Gaussian Markov random field proxies for Gaussian random fields
por: Follestad, T, et al.
Publicado: (2003) -
Gaussian random functions
por: Lifshits, M A
Publicado: (1995)